从概念炒作到价值落地_2026年零售业AI趋势报告_15页_499kb

2026 Retail AI Trends Summary

Core Content

2026 marks a significant shift in the retail industry, moving from the hype of AI technology to a focus on practical implementation and value delivery. Retailers are increasingly adopting AI not as a standalone feature, but as an integrated operating layer that enhances efficiency, scalability, and customer experience.

Main Trends

1. From Hype to How: AI as an Operating Layer

• Retailers are prioritizing real-world applicability of AI over novelty.
• AI is being embedded as a platform capability, not a one-off solution.
• The emphasis is on solving immediate operational challenges, such as customer service volume, pricing optimization, and task management.
• Key Insight: AI must be unified across the business to connect data, decisions, and workflows effectively.

2. Simplify to Scale: Connected Platforms for Agentic Commerce

• The introduction of the Universal Commerce Protocol (UCP) by Google and Shopify highlights the industry's move toward shared standards for agentic commerce.
• UCP enables AI agents to seamlessly interact across platforms, reducing fragmentation and improving scalability.
• Retailers are now focusing on integration, interoperability, and trust to support AI-driven transactions.
• Key Insight: Unified commerce is the next big idea, ensuring cohesive experiences across all routes to purchase.

3. All-in-One Retail: Physical Store | Digital Tech | Human Experience

• Physical stores are evolving from transaction centers to trust-building environments.
• AI is used to augment human experiences rather than replace them, providing tools that support associates in delivering personalized, context-aware service.
• The store remains essential for sensory experiences, human expertise, and real interactions that cannot be replicated online.
• Key Insight: AI should enhance the human connection, not replace it, by handling routine tasks and enabling more meaningful engagement.

Key Information

• AI is becoming the connective tissue of the business, enabling cross-functional insights and real-time decision-making.
• Trust is central to AI adoption, with consumer concerns about data privacy and transparency increasing.
  • 71% of shoppers are concerned about how Gen AI collects and uses personal data.
  • 76% want to set strict boundaries for digital assistants.
  • 66% trust a digital assistant more when it provides clear explanations.
• Customer expectations are shifting toward seamless, consistent, and trustworthy experiences across all touchpoints.
  • 56% of consumers have used or plan to use Gen AI shopping tools.
  • 53% have made purchases based on AI recommendations.
• Unified commerce is the future, integrating all purchase routes and ensuring data, inventory, pricing, and fulfillment are aligned.
• Agentic commerce is becoming a reality, with AI acting on behalf of customers in real-time, based on context and personalization.

Recommendations

1. Unify the Organization Through AI

• Deploy AI as a shared operating layer across teams, data, and decisions.
• Ensure pricing, inventory, marketing, and customer engagement are aligned through real-time signals.

2. Anchor Platform Decisions in Interoperability

• Prioritize interoperability as the core design principle for commerce stacks.
• Move away from isolated tools and toward connected, scalable platforms.

3. Design Stores to Verify Trust and Deepen Human Connection

• Use AI to streamline routine tasks, such as checkout and navigation.
• Equip associates with tools that free them from administrative work and enable more meaningful customer interactions.

Conclusion

2026 is the year where AI transitions from a buzzword to a practical, essential part of retail operations. The focus is on delivering value through real-world applications, unified systems, and trust-building experiences. Retailers that embrace this shift will lead the next wave of innovation, combining the best of digital and human elements to create seamless, purpose-driven commerce.